Regulatory Compliance Part 1: Understanding Your Obligations
The term “heavily regulated industry” is commonly used when referring to many industries today. In the U.S., it can apply to healthcare, finance and insurance, energy, technology, life sciences, and…
Mapping Scope 3 Data for Environmentally Sustainable Supply Chains
We are facing a climate crisis. This isn’t a new concept, but what we don’t have is a full understanding of the innovative work being done by many individuals and…
Five Indications a Graph Solution Is the Right Fit for Your Data Problem
When is the right time to invest the time and money into trying a graph database solution at your organization? We have a vested interest in this question. Naturally, we’d…
Podcast: TigerGraph Machine Learning Workbench with Victor Lee
This transcript is edited from the TigerGraph Connections podcast episode published on June 28, 2022, with Victor Lee, VP of Machine Learning and AI at TigerGraph.Corey Tomlinson: I'm very happy…
Turn Customer Data into Valuable Insights and Improved Operations with Customer 360
Your customers generate a lot of data. There’s a wealth of information in this data if you can understand the relationships between that data, leading enterprise organizations to implement customer…
Digital Twins: Helping Solve Prominent UK Water and Wastewater Company’s Asset Problems
An ability to manage assets, such as potable water pipelines, wastewater pipelines, and pumping stations, is an essential part of running a water utility. Thames Water is responsible for the public…
How Graph Helped Expose the Russian Laundromat Network
Money laundering, fraud, and corruption are everywhere. The criminals behind it all have developed multilayered, intricate ruses to carry out their crimes, some of which are so complex that law…
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